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Everything behind this model's benchmark score: the exact image sent, the exact ground truth it was graded against, and the exact text it returned — for all 11 documents. Each score is recomputed from that text when this page is served.
Hard-document score 49.0% − 10.0 blank-page penalty = 39.0%
Not part of Quality: the 11 documents below average 51.0%.
Measured on corpus ocr-shared-11-normalized/v2 with scorer ocr-shared-11-scorer/v2 · published 2026-10-05. Provider offering used: openrouter-qwen-qwen3.6-flash (openrouter).
corpus manifest sha256: b8f240c12ac5778625786d08e2e7fc2267721f2f458c5f425b8c635170590c94
The corpus is public: browse every test document.
Character LCS similarity (format-normalized) · 17.3s · measured 2026-08-07 · Synthetic receipt — tests retail-style dense numeric rows.
CORNER STORE 123 Main Street Date: 2026-02-28 14:32 -------------------------------- Milk 2% 1x $3.49 Bread Wheat 1x $2.99 Eggs Large 12ct 1x $4.29 Coffee Dark Roast 1x $8.99 Bananas 1.2lb 1x $0.89 -------------------------------- Subtotal: $20.65 Tax (8.25%): $1.70 TOTAL: $22.35 -------------------------------- VISA ****4821 Thank you for shopping!
The user wants me to extract the text from the provided image of a receipt.
I need to carefully transcribe each line, paying attention to the spacing and layout to match the original image as closely as possible.
1. **Header**: "CORNER STORE" is at the very top.
2. **Address**: "123 Main Street".
3. **Date/Time**: "Date: 2026-02-28 14:32".
4. **Separator**: A line of dashes.
5. **Item 1**: "Milk 2% 1x $3.49". The spacing is important here.
6. **Item 2**: "Bread Wheat 1x $2.99".
7. **Item 3**: "Eggs Large 12ct 1x $4.29". Wait, looking closer at the alignment, the quantity column (1x) aligns somewhat right, and price aligns further right.
* Milk 2% -> 1x -> $3.49
* Bread Wheat -> 1x -> $2.99
* Eggs Large 12ct -> 1x -> $4.29
* Coffee Dark Roast -> 1x -> $8.99
* Bananas 1.2lb -> 1x -> $0.89
8. **Separator**: Another dashed line.
9. **Subtotal**: "Subtotal: $20.65".
10. **Tax**: "Tax (8.25%): $1.70".
11. **Total**: "TOTAL: $22.35".
12. **Separator**: Final dashed line.
13. **Payment Info**: "VISA ****4821".
14. **Footer**: "Thank you for shopping!".
Let's refine the transcription with precise spacing.
Line 1: CORNER STORE
Line 2: 123 Main Street
Line 3: Date: 2026-02-28 14:32
Line 4: ---------------------- (approximate count, let's just use dashes)
Line 5: Milk 2% 1x $3.49
Line 6: Bread Wheat 1x $2.99
Line 7: Eggs Large 12ct 1x $4.29
Line 8: Coffee Dark Roast 1x $8.99
Line 9: Bananas 1.2lb 1x $0.89
Line 10: ----------------------
Line 11: Subtotal: $20.65
Line 12: Tax (8.25%): $1.70
Line 13: TOTAL: $22.35
Line 14: ----------------------
Line 15: VISA ****4821
Line 16: Thank you for shopping!
Re-checking the spacing for items.
"Milk 2%" starts left. "1x" is roughly in the middle. "$3.49" is on the right.
"Bananas 1.2lb" is shorter than "Coffee Dark Roast", so its "1x" might be slightly different, but they seem generally aligned in columns. I will try to replicate the visual gaps.
"Milk 2%" followed by space then "1x".
"Bread Wheat" followed by space then "1x".
"Eggs Large 12ct" followed by space then "1x".
"Coffee Dark Roast" followed by space then "1x".
"Bananas 1.2lb" followed by space then "1x".
The amounts are all aligned vertically.
The labels start at different points based on length.
Let's construct the final string.
</think>
CORNER STORE
123 Main Street
Date: 2026-02-28 14:32
----------------------
Milk 2% 1x $3.49
Bread Wheat 1x $2.99
Eggs Large 12ct 1x $4.29
Coffee Dark Roast 1x $8.99
Bananas 1.2lb 1x $0.89
----------------------
Subtotal: $20.65
Tax (8.25%): $1.70
TOTAL: $22.35
----------------------
VISA ****4821
Thank you for shopping!Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 18.9% — the published score. Recomputed when this page was rendered, not copied from a database field.
Character LCS similarity (format-normalized) · 5.8s · measured 2026-08-07 · Synthetic receipt — tests retail-style dense numeric rows.
CAFE BISTRO 456 Oak Avenue, Suite 2 02/28/2026 10:15 AM ================================ Cappuccino 1 $4.50 Croissant 2 $7.00 Orange Juice 1 $3.25 Avocado Toast 1 $9.50 ================================ Subtotal $24.25 Tip (18%): $4.37 TOTAL: $28.62 Paid: Apple Pay Have a great day!
The user wants the text from the image transcribed exactly. 1. **Transcribe header:** "CAFE BISTRO", address, date, time. 2. **Transcribe separator:** "=================" 3. **Transcribe items:** List each item with quantity and price. 4. **Transcribe separator:** "===================" 5. **Transcribe totals:** Subtotal, Tip, Total. 6. **Transcribe footer:** Payment method, closing message. </think> CAFE BISTRO 456 Oak Avenue, Suite 2 02/28/2026 10:15 AM ================= Cappuccino 1 $4.50 Croissant 2 $7.00 Orange Juice 1 $3.25 Avocado Toast 1 $9.50 =================== Subtotal $24.25 Tip (18%): $4.37 TOTAL: $28.62 Paid: Apple Pay Have a great day!
Character LCS similarity (format-normalized) · 6.5s · measured 2026-08-07 · Synthetic handwriting — tests cursive recognition.
Dear Professor, I wanted to follow up on our discussion about the research proposal. The deadline is March 15 and I have completed the first three sections. Best regards, Alex
The user wants the text from the image transcribed exactly. 1. **Transcribe the text:** "Dear Professor, I wanted to follow up on our discussion about the research proposal. The deadline is March 15 and I have completed the first three sections. Best regards, Alex" 2. **Verify formatting:** Preserve line breaks where they naturally occur in the visual structure, but primarily focus on the content. The prompt asks for original layout as closely as possible. Text: Dear Professor, I wanted to follow up on our discussion about the research proposal. The deadline is March 15 and I have completed the first three sections. Best regards, Alex </think> Dear Professor, I wanted to follow up on our discussion about the research proposal. The deadline is March 15 and I have completed the first three sections. Best regards, Alex
Character LCS similarity (format-normalized) · 7.6s · measured 2026-08-07 · Synthetic handwriting — tests cursive recognition.
Meeting Notes - Feb 28 - Review Q4 budget by Friday - Call vendor re: contract renewal - Update project timeline - Send report to Sarah - Book conference room for Wed - Prepare slides for demo Action: Sarah to confirm deadline with client
The user wants me to extract the text from the image. I will read the text exactly as it appears, line by line, preserving the spacing and punctuation. 1. **Header**: The first line is "Meeting Notes - Feb 28". 2. **List Item 1**: "- Review Q4 budget by Friday" 3. **List Item 2**: "- Call vendor re: contract renewal" 4. **List Item 3**: "- Update project timeline" 5. **List Item 4**: "- Send report to Sarah" 6. **List Item 5**: "- Book conference room for Wed" 7. **List Item 6**: "- Prepare slides for demo" 8. **Action Item Header/Content**: There is a gap. Then "Action: Sarah to confirm". 9. **Action Item Line 2**: "deadline with client" Let's assemble this into the final output block. </think> Meeting Notes - Feb 28 - Review Q4 budget by Friday - Call vendor re: contract renewal - Update project timeline - Send report to Sarah - Book conference room for Wed - Prepare slides for demo Action: Sarah to confirm deadline with client
Character LCS similarity (format-normalized) · 9.7s · measured 2026-08-07 · Synthetic invoice — tests tabular billing layouts.
INVOICE #INV-2026-0472
From: Acme Solutions LLC
To: Widget Corp International
Date: February 28, 2026
Due Date: March 30, 2026
Description Qty Rate Amount
---------------------------------------------------
Web Development 40h $150.00 $6,000.00
UI/UX Design 20h $125.00 $2,500.00
Server Infrastructure 1 $500.00 $500.00
---------------------------------------------------
Subtotal: $9,000.00
Tax (10%): $900.00
TOTAL: $9,900.00
Payment Terms: Net 30
Bank: First National Bank Acct: 1234567890The user wants the text from the image transcribed exactly.
1. **Identify the header:** "INVOICE #INV-2026-0472"
2. **Identify sender/recipient info:**
* "From: Acme Solutions LLC"
* "To: Widget Corp International"
3. **Identify dates:**
* "Date: February 28, 2026"
* "Due Date: March 30, 2026"
4. **Identify table headers:** "Description", "Qty", "Rate", "Amount"
5. **Identify table rows:**
* "Web Development", "40h", "$150.00", "$6,000.00"
* "UI/UX Design", "20h", "$125.00", "$2,500.00"
* "Server Infrastructure", "1", "$500.00", "$500.00"
6. **Identify totals:**
* "Subtotal:", "$9,000.00"
* "Tax (10%):", "$900.00"
* "TOTAL:", "$9,900.00"
7. **Identify footer info:**
* "Payment Terms: Net 30"
* "Bank: First National Bank Acct: 1234567890"
Transcribe exactly.
</think>
INVOICE #INV-2026-0472
From: Acme Solutions LLC
To: Widget Corp International
Date: February 28, 2026
Due Date: March 30, 2026
Description Qty Rate Amount
Web Development 40h $150.00 $6,000.00
UI/UX Design 20h $125.00 $2,500.00
Server Infrastructure 1 $500.00 $500.00
Subtotal: $9,000.00
Tax (10%): $900.00
TOTAL: $9,900.00
Payment Terms: Net 30
Bank: First National Bank Acct: 1234567890Character LCS similarity (format-normalized) · 10.3s · measured 2026-08-07 · Synthetic invoice — tests tabular billing layouts.
INVOICE
Invoice No: 10582
Date: 2026-02-15
Bill To:
Johnson & Partners LLP
789 Corporate Blvd
Austin, TX 78701
Item Qty Price Total
----------------------------------------------
Office Chairs (Mesh) 5 $289.00 $1,445.00
Standing Desks 3 $549.00 $1,647.00
Monitor Arms 8 $79.00 $632.00
Cable Management Kit 8 $24.99 $199.92
----------------------------------------------
Subtotal: $3,923.92
Shipping: $150.00
TOTAL: $4,073.92The user wants the text from the image extracted exactly.
1. **Identify the document type:** It's an invoice.
2. **Transcribe header:** "INVOICE"
3. **Transcribe invoice details:**
* "Invoice No: 10582"
* "Date: 2026-02-15"
4. **Transcribe billing info:**
* "Bill To:"
* "Johnson & Partners LLP"
* "789 Corporate Blvd"
* "Austin, TX 78701"
5. **Transcribe table headers:** "Item", "Qty", "Price", "Total"
6. **Transcribe table rows:**
* "Office Chairs (Mesh)", "5", "$289.00", "$1,445.00"
* "Standing Desks", "3", "$549.00", "$1,647.00"
* "Monitor Arms", "8", "$79.00", "$632.00"
* "Cable Management Kit", "8", "$24.99", "$199.92"
7. **Transcribe totals section:**
* "Subtotal:", "$3,923.92"
* "Shipping:", "$150.00"
* "TOTAL:", "$4,073.92"
8. **Format:** Maintain the layout as much as possible.
</think>
INVOICE
Invoice No: 10582
Date: 2026-02-15
Bill To:
Johnson & Partners LLP
789 Corporate Blvd
Austin, TX 78701
Item Qty Price Total
--------------------------------------------------------------------
Office Chairs (Mesh) 5 $289.00 $1,445.00
Standing Desks 3 $549.00 $1,647.00
Monitor Arms 8 $79.00 $632.00
Cable Management Kit 8 $24.99 $199.92
--------------------------------------------------------------------
Subtotal: $3,923.92
Shipping: $150.00
TOTAL: $4,073.92Character LCS similarity (format-normalized) · 8.3s · measured 2026-08-07 · Synthetic table — tests column and row structure parsing.
Engine Performance Benchmark Results Engine Latency(ms) Accuracy Cost/Page ---------- ----------- -------- --------- Tesseract 178ms 92.1% $0.0005 EasyOCR 86ms 88.7% $0.0005 docTR 908ms 94.3% $0.0005 GPT-4o 1600ms 98.9% $0.0100 Claude Sonnet 1738ms 99.1% $0.0080 Gemini Flash 798ms 97.2% $0.0030
The user wants the text from the image transcribed exactly.
1. **Identify the title:** "Engine Performance Benchmark Results"
2. **Identify the headers:** "Engine", "Latency(ms)", "Accuracy", "Cost/Page"
3. **Identify the separators:** Dashes under each header.
4. **Transcribe rows:**
* Tesseract, 178ms, 92.1%, $0.0005
* EasyOCR, 86ms, 88.7%, $0.0005
* docTR, 908ms, 94.3%, $0.0005
* GPT-4o, 1600ms, 98.9%, $0.0100
* Claude Sonnet, 1738ms, 99.1%, $0.0080
* Gemini Flash, 798ms, 97.2%, $0.0030
5. **Format:** Maintain spacing and alignment as best as possible in plain text.
</think>
Engine Performance Benchmark Results
Engine Latency(ms) Accuracy Cost/Page
--------- ----------- -------- ---------
Tesseract 178ms 92.1% $0.0005
EasyOCR 86ms 88.7% $0.0005
docTR 908ms 94.3% $0.0005
GPT-4o 1600ms 98.9% $0.0100
Claude Sonnet 1738ms 99.1% $0.0080
Gemini Flash 798ms 97.2% $0.0030Character LCS similarity (format-normalized) · 8.7s · measured 2026-08-07 · Synthetic table — tests column and row structure parsing.
Monthly Revenue by Region (USD) Region Jan Feb Mar ----------- --------- -------- -------- North America $45,200 $48,100 $52,300 Europe $31,800 $33,200 $35,900 Asia Pacific $22,400 $24,700 $27,100 Latin America $8,900 $9,400 $10,200 Middle East $5,100 $5,800 $6,300 ----------- --------- -------- -------- Total $113,400 $121,200 $131,800
The user wants the text from the image transcribed exactly.
1. **Transcribe the title:** "Monthly Revenue by Region (USD)"
2. **Transcribe the header row:** "Region Jan Feb Mar"
3. **Transcribe the separator line:** "---------- ---------- ---------- ----------"
4. **Transcribe the data rows:**
* "North America $45,200 $48,100 $52,300"
* "Europe $31,800 $33,200 $35,900"
* "Asia Pacific $22,400 $24,700 $27,100"
* "Latin America $8,900 $9,400 $10,200"
* "Middle East $5,100 $5,800 $6,300"
5. **Transcribe the separator line before total:** "---------- ---------- ---------- ----------"
6. **Transcribe the total row:** "Total $113,400 $121,200 $131,800"
</think>
Monthly Revenue by Region (USD)
Region Jan Feb Mar
---------- ---------- ---------- ----------
North America $45,200 $48,100 $52,300
Europe $31,800 $33,200 $35,900
Asia Pacific $22,400 $24,700 $27,100
Latin America $8,900 $9,400 $10,200
Middle East $5,100 $5,800 $6,300
---------- ---------- ---------- ----------
Total $113,400 $121,200 $131,800Character LCS similarity (format-normalized) · 8.0s · measured 2026-08-07 · Synthetic dense paragraph — tests small-font continuous text recognition.
Section 4.2 - Data Processing Requirements All personally identifiable information (PII) must be encrypted at rest using AES-256 encryption and in transit using TLS 1.3 or higher. Data retention policies require that raw OCR output be purged within 24 hours of processing unless the customer has opted into extended storage (maximum 90 days). Metadata including timestamps, engine IDs, and processing latency may be retained for up to 365 days for analytics purposes. Any cross-border data transfer must comply with GDPR Article 46 requirements.
The user wants the text from the image transcribed exactly. 1. **Transcribe the text:** "Section 4.2 - Data Processing Requirements All personally identifiable information (PII) must be encrypted at rest using AES-256 encryption and in transit using TLS 1.3 or higher. Data retention policies require that raw OCR output be purged within 24 hours of processing unless the customer has opted into extended storage (maximum 90 days). Metadata including timestamps, engine IDs, and processing latency may be retained for up to 365 days for analytics purposes. Any cross-border data transfer must comply with GDPR Article 46 requirements." 2. **Verify against image:** The transcription matches perfectly. No formatting issues. </think> Section 4.2 - Data Processing Requirements All personally identifiable information (PII) must be encrypted at rest using AES-256 encryption and in transit using TLS 1.3 or higher. Data retention policies require that raw OCR output be purged within 24 hours of processing unless the customer has opted into extended storage (maximum 90 days). Metadata including timestamps, engine IDs, and processing latency may be retained for up to 365 days for analytics purposes. Any cross-border data transfer must comply with GDPR Article 46 requirements.
Character LCS similarity (format-normalized) · 9.1s · measured 2026-08-07 · Synthetic dense paragraph — tests small-font continuous text recognition.
Terms of Service - API Usage By accessing the OpenOCR API you agree to the following: (1) You will not exceed your allocated rate limit of 60 requests per minute per API key. (2) You will not use the service to process documents containing protected health information (PHI) without a signed BAA. (3) All API keys are confidential and must not be shared or embedded in client-side code. (4) We reserve the right to throttle or suspend accounts that exhibit abusive patterns. (5) Pricing is subject to change with 30 days written notice. Contact support@openocr.com for questions.
The user wants the text from the image transcribed exactly. 1. **Transcribe the text:** "Terms of Service - API Usage By accessing the OpenOCR API you agree to the following: (1) You will not exceed your allocated rate limit of 60 requests per minute per API key. (2) You will not use the service to process documents containing protected health information (PHI) without a signed BAA. (3) All API keys are confidential and must not be shared or embedded in client-side code. (4) We reserve the right to throttle or suspend accounts that exhibit abusive patterns. (5) Pricing is subject to change with 30 days written notice. Contact support@openocr.com for questions." 2. **Verify against image:** Looks accurate. No typos found. Matches formatting. </think> Terms of Service - API Usage By accessing the OpenOCR API you agree to the following: (1) You will not exceed your allocated rate limit of 60 requests per minute per API key. (2) You will not use the service to process documents containing protected health information (PHI) without a signed BAA. (3) All API keys are confidential and must not be shared or embedded in client-side code. (4) We reserve the right to throttle or suspend accounts that exhibit abusive patterns. (5) Pricing is subject to change with 30 days written notice. Contact support@openocr.com for questions.
Expected-line checklist · 78.0s · measured 2026-08-07 · Real website screenshot — tests multilingual UI chrome, small Spanish listing text, and mixed text with graphics.
HABITAONE $ 2,000,000 $ 120,000 $ 18,000 $ 47,000 $ 5 $ 250 $ 75,000 $ 330,000 Buy Rent Sell Price Property type Rooms Area State City Save list Show on Map My Properties FOR SALE Terreno en Venta en Puerto Cabello Apartamento en Venta en Los Mangos Terreno en Venta en Capacho Viejo Apartamento en Venta en Res Abadía Puerto Cabello Valencia Carabobo San Diego HabitaOne Linux Claude
Here's a thinking process:
1. **Analyze the Image:** The image is a screenshot of a real estate website, "HabitaOne". It shows a grid of property listings. There are browser tabs, address bars, and navigation elements at the top. Below that are search filters. Then there are two rows of four property cards each (mostly).
2. **Identify Text Regions:**
* **Browser UI (Top):** Tabs like "Cron Syntax", "Houses & X", "Issues - Re...", "Claude", "Linux - Wiki...", etc. Address bar: `habitaone.com/en/comprar`.
* **Header/Nav:** Logo "HABITAONE", links "Buy", "Rent", "Sell", language "EN", button "My Properties", icons for heart, chat, profile.
* **Search Bar:** "Search city or state...", buttons "Buy", "Rent", "Price", "Property type", "Rooms", "Area", "State". Toggle for "Show list", "List & map".
* **Property Cards (Row 1):** Four cards.
* Card 1: Tag "FOR SALE", overlay text "EN VENTA TERRENO", Source "Fuente: BienesOnline", Price "$ 2,000,000", Title "Terreno en Venta en Puerto Cabello Puerto Cabello", Location "Puerto Cabello, Carabobo", Details icons/text "0 0 14360 m²".
* Card 2: Tag "FOR SALE", overlay "Rentahouse Venezuela", Source "Fuente: BienesOnline", Price "$ 120,000", Title "Apartamento en Venta en Los Mangos Valencia Carabobo Valencia", Location "Valencia, Carabobo", Details "3 5 292 m²".
* Card 3: Tag "FOR SALE", Source "Fuente: BienesOnline", Price "$ 18,000", Title "Terreno en Venta en Capacho Viejo", Location "Capacho Viejo, Táchira", Details "3 2 400 m²".
* Card 4: Tag "FOR SALE", Source "Fuente: BienesOnline", Price "$ 47,000", Title "Apartamento en Venta en Res Abadía San Diego", Location "San Diego, Carabobo", Details "3 2 85 m²".
* **Property Cards (Row 2):** Four cards visible/cut off at bottom.
* Card 5: Tag "FOR SALE", overlay "Century21", Source "Fuente: Century21", Price "$ 5" (cut off).
* Card 6: Tag "FOR SALE", overlay "Rentahouse Venezuela", Source "Fuente: RentAHouse", Price "$ 250" (cut off).
* Card 7: Tag "FOR SALE", overlay "Rentahouse Venezuela", Source "Fuente: RentAHouse", Price "$ 75,000" (cut off).
* Card 8: Tag "FOR SALE", overlay "© 2023 Rentahouse Venezuela", Source "Fuente: BienesOnline", Price "$ 330,000" (cut off).
* **Bottom:** "Market info" text.
3. **Transcribe Text Systematically:** I will go from top to bottom, left to right, capturing all readable text. I'll try to maintain the layout structure roughly by grouping related items.
*Browser Tabs:* Cron Syntax | Houses & ... | Issues - Re... | Houses & A... | Claude | Houses & A... | HabitaOne Pla... | Houses & A... | Linux - Wiki... +
*Address Bar:* habitaone.com/en/comprar
*Header:* HABITAONE Buy Rent Sell EN My Properties
*Search/Filters:* Search city or state... Buy Rent Price Property type Rooms Area State Show list List & map
*Card 1:* FOR SALE EN VENTA TERRENO Fuente: BienesOnline $ 2,000,000 Terreno en Venta en Puerto Cabello Puerto Cabello Puerto Cabello, Carabobo 0 0 14360 m²
*Card 2:* FOR SALE Rentahouse Venezuela Fuente: BienesOnline $ 120,000 Apartamento en Venta en Los Mangos Valencia Carabobo Valencia Valencia, Carabobo 3 5 292 m²
*Card 3:* FOR SALE Fuente: BienesOnline $ 18,000 Terreno en Venta en Capacho Viejo Capacho Viejo, Táchira 3 2 400 m²
*Card 4:* FOR SALE Fuente: BienesOnline $ 47,000 Apartamento en Venta en Res Abadía San Diego San Diego, Carabobo 3 2 85 m²
*Card 5:* FOR SALE Century21 Fuente: Century21 $ 5
*Card 6:* FOR SALE Rentahouse Venezuela Fuente: RentAHouse $ 250
*Card 7:* FOR SALE Rentahouse Venezuela Fuente: RentAHouse $ 75,000
*Card 8:* FOR SALE © 2023 Rentahouse Venezuela Fuente: BienesOnline $ 330,000
*Footer/Bottom:* Market info
4. **Refine and Format:** I will arrange the transcribed text to mimic the visual structure as much as possible, using line breaks and spacing. I need to be careful with small text and overlapping watermarks.
Let's draft it out carefully.
*Top Bar:*
Cron Syntax Houses & ... Issues - Re... Houses & A... Claude Houses & A... HabitaOne Pla... Houses & A... Linux - Wiki... +
habitaone.com/en/comprar VPN
*Main Nav:*
HABITAONE Buy Rent Sell EN My Properties
*Search Bar:*
Search city or state... Buy Rent Price Property type Rooms Area State Show list List & map
*Grid Row 1:*
FOR SALE
EN VENTA
TERRENO
Fuente: BienesOnline
$ 2,000,000
Terreno en Venta en Puerto Cabello
Puerto Cabello
Puerto Cabello, Carabobo
0 0 14360 m²
FOR SALE
Rentahouse Venezuela
Fuente: BienesOnline
$ 120,000
Apartamento en Venta en Los Mangos
Valencia Carabobo Valencia
Valencia, Carabobo
3 5 292 m²
FOR SALE
Fuente: BienesOnline
$ 18,000
Terreno en Venta en Capacho Viejo
Capacho Viejo, Táchira
3 2 400 m²
FOR SALE
Fuente: BienesOnline
$ 47,000
Apartamento en Venta en Res Abadía
San Diego
San Diego, Carabobo
3 2 85 m²
*Grid Row 2:*
FOR SALE
Century21
Fuente: Century21
$ 5
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 250
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 75,000
FOR SALE
© 2023 Rentahouse Venezuela
Fuente: BienesOnline
$ 330,000
*Bottom:*
Market info
5. **Self-Correction/Verification during drafting:**
*Check browser tabs:* They are truncated in the UI but I'll transcribe what's visible. "Cron Synta", "Houses & x", "Issues - Reac", "Houses & Ap", "Claude", "Houses & Ap", "HabitaOne Pla", "Houses & Ap", "W Linux - Wiki". Actually, I'll just transcribe the clear text: `Cron Synta Houses & x Issues - Reac Houses & Ap Claude Houses & Ap HabitaOne Pla Houses & Ap W Linux - Wiki +` -> Let's stick to exactly what's visible: `Cron Synta Houses & x Issues - Reac Houses & Ap Claude Houses & Ap HabitaOne Pla Houses & Ap W Linux - Wiki +` Wait, looking closer: `Cron Synta`, `Houses & x`, `Issues - Reac`, `Houses & Ap`, `Claude`, `Houses & Ap`, `HabitaOne Pla`, `Houses & Ap`, `W Linux - Wiki`. I will transcribe them linearly.
*Check Watermarks:* "EN VENTA TERRENO" is stylized but readable. "Rentahouse Venezuela" appears twice. "Century21" appears once. "© 2023 Rentahouse Venezuela" appears on the last one.
*Check Details Icons:* The icons for bed, bath, square meter are replaced by their numeric values in the transcription usually, but here it's just text next to icons. I'll write `0 0 14360 m²` etc.
*Check Layout:* I will format it block by block to preserve spatial relationship.
Let's assemble carefully.
[Top Bar]
Cron Synta | Houses & x | Issues - Reac | Houses & Ap | Claude | Houses & Ap | HabitaOne Pla | Houses & Ap | W Linux - Wiki | +
habitaone.com/en/comprar VPN
[Header]
HABITAONE Buy Rent Sell EN My Properties
[Search]
Search city or state... Buy Rent Price Property type Rooms Area State Show list List & map
[Card 1]
FOR SALE
EN VENTA
TERRENO
Fuente: BienesOnline
$ 2,000,000
Terreno en Venta en Puerto Cabello
Puerto Cabello
Puerto Cabello, Carabobo
0 0 14360 m²
[Card 2]
FOR SALE
Rentahouse Venezuela
Fuente: BienesOnline
$ 120,000
Apartamento en Venta en Los Mangos
Valencia Carabobo Valencia
Valencia, Carabobo
3 5 292 m²
[Card 3]
FOR SALE
Fuente: BienesOnline
$ 18,000
Terreno en Venta en Capacho Viejo
Capacho Viejo, Táchira
3 2 400 m²
[Card 4]
FOR SALE
Fuente: BienesOnline
$ 47,000
Apartamento en Venta en Res Abadía
San Diego
San Diego, Carabobo
3 2 85 m²
[Card 5]
FOR SALE
Century21
Fuente: Century21
$ 5
[Card 6]
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 250
[Card 7]
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 75,000
[Card 8]
FOR SALE
© 2023 Rentahouse Venezuela
Fuente: BienesOnline
$ 330,000
[Bottom]
Market info
I will output this structured text directly. I'll remove my bracketed comments to strictly follow the prompt. I will ensure formatting matches the visual blocks as best as plain text allows.
One minor check: "Houses & x" -> actually looks like "Houses & ". The 'x' might be a close tab icon. I'll transcribe "Houses & ".
"Issues - Reac" -> likely "Issues - React..."
I will just transcribe exactly what is visible: `Cron Synta Houses & Issues - Reac Houses & Claude Houses & HabitaOne Pla Houses & Linux - Wiki +`
Actually, looking extremely closely at the tabs:
Tab 1: Cron Synta
Tab 2: Houses &
Tab 3: Issues - Reac
Tab 4: Houses & Ap
Tab 5: Claude
Tab 6: Houses & Ap
Tab 7: HabitaOne Pla
Tab 8: Houses & Ap
Tab 9: W Linux - Wiki
I'll just write them sequentially.
All set. Generating response.
Self-Correction/Refinement during thought: The prompt says "preserving the original layout and formatting as closely as possible." I will use newlines and spacing to separate the cards clearly.
Text to output:
Cron Synta | Houses & | Issues - Reac | Houses & Ap | Claude | Houses & Ap | HabitaOne Pla | Houses & Ap | W Linux - Wiki | +
habitaone.com/en/comprar VPN
HABITAONE Buy Rent Sell EN My Properties
Search city or state... Buy Rent Price Property type Rooms Area State Show list List & map
FOR SALE
EN VENTA
TERRENO
Fuente: BienesOnline
$ 2,000,000
Terreno en Venta en Puerto Cabello
Puerto Cabello
Puerto Cabello, Carabobo
0 0 14360 m²
FOR SALE
Rentahouse Venezuela
Fuente: BienesOnline
$ 120,000
Apartamento en Venta en Los Mangos
Valencia Carabobo Valencia
Valencia, Carabobo
3 5 292 m²
FOR SALE
Fuente: BienesOnline
$ 18,000
Terreno en Venta en Capacho Viejo
Capacho Viejo, Táchira
3 2 400 m²
FOR SALE
Fuente: BienesOnline
$ 47,000
Apartamento en Venta en Res Abadía
San Diego
San Diego, Carabobo
3 2 85 m²
FOR SALE
Century21
Fuente: Century21
$ 5
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 250
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 75,000
FOR SALE
© 2023 Rentahouse Venezuela
Fuente: BienesOnline
$ 330,000
Market info
This looks accurate and comprehensive. Proceeds.
One detail: The browser tabs have truncation dots or symbols. I will just transcribe the visible alphanumeric characters.
"Cron Synta" -> "Cron Syntax" (partially cut)
I'll stick to exact visible text.
Final check of the image text matches perfectly. Output matches request.✅
</think>
Cron Synta Houses & Issues - Reac Houses & Ap Claude Houses & Ap HabitaOne Pla Houses & Ap W Linux - Wiki +
habitaone.com/en/comprar VPN
HABITAONE Buy Rent Sell EN My Properties
Search city or state... Buy Rent Price Property type Rooms Area State Show list List & map
FOR SALE
EN VENTA
TERRENO
Fuente: BienesOnline
$ 2,000,000
Terreno en Venta en Puerto Cabello
Puerto Cabello
Puerto Cabello, Carabobo
0 0 14360 m²
FOR SALE
Rentahouse Venezuela
Fuente: BienesOnline
$ 120,000
Apartamento en Venta en Los Mangos
Valencia Carabobo Valencia
Valencia, Carabobo
3 5 292 m²
FOR SALE
Fuente: BienesOnline
$ 18,000
Terreno en Venta en Capacho Viejo
Capacho Viejo, Táchira
3 2 400 m²
FOR SALE
Fuente: BienesOnline
$ 47,000
Apartamento en Venta en Res Abadía
San Diego
San Diego, Carabobo
3 2 85 m²
FOR SALE
Century21
Fuente: Century21
$ 5
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 250
FOR SALE
Rentahouse Venezuela
Fuente: RentAHouse
$ 75,000
FOR SALE
© 2023 Rentahouse Venezuela
Fuente: BienesOnline
$ 330,000
Market infoReturned no text
Returned text:
“Saeid Khosravi, A5993632
(647) 538-8920
Ehsan Shirzadi, A5997995
(647) 538-8920
Fatemeh Naderi, A5815437
(416) 549-2165
Afsaneh Ziaei, A5996119
(416) 549-2165
Fariba Azimi, A5959009
(647) 538-8920
Hamidreza Ansari, A5997061
(647) 538-8920
Nasim Ebrahimi, A5996358
(647) 538-8920
Reza Soltani, A5983583
(416) 549-2165
Mansour Alizadeh, A5988890
(416) 549-2165
Azam Ghasemian, A5998670
(416) 549-2165
H”Returned text:
“Brewster v. Moxon, 7 Jur. N.S. 589
Brickell v. Smithson, 8 Jur. N.S. 604
Clements v. Hetherington, i L.T. 33
Cameron v. Fyfe (No. 2), 10 Jur. N.S. 824
Campbell v. Archibald, 14 I.W.R. 35
Cameron v. Fyfe, 7 W.N. & N.S.W. 99
Cameron v. Longmuir, 5 R. 152
Clark v. Brown, 20 S.C.R. 39
Chapman v. Chapman, 24 Gr. 335
Corcoran v. Martin, 2 P.B.B. 52
Colburn v. Sharpe, i Drew. 408
Coleman v. Turner, Law R”Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 41.3% — the published score. Recomputed when this page was rendered, not copied from a database field.
Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 51.7% — the published score. Recomputed when this page was rendered, not copied from a database field.
Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 46.9% — the published score. Recomputed when this page was rendered, not copied from a database field.
Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 47.8% — the published score. Recomputed when this page was rendered, not copied from a database field.
Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 48.6% — the published score. Recomputed when this page was rendered, not copied from a database field.
Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 60.1% — the published score. Recomputed when this page was rendered, not copied from a database field.
Re-scoring the transcript above with the character lcs similarity (format-normalized) gives 60.7% — the published score. Recomputed when this page was rendered, not copied from a database field.
Re-scoring the transcript above with the expected-line checklist gives 93.9% — the published score. Recomputed when this page was rendered, not copied from a database field.